DeepForest
Python Package for Airborne RGB machine learning
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최종 버전 다운로드 (.zip)- bug_report.md
- data_contribution.md
- feature_request.md
- automate-waiting-labels.yml
- ci_tests.yml
- publish.yml
- stale.yml
- pull_request_template.md
- getting_started.css
- pandas.css
- index_api.svg
- index_contribute.svg
- index_getting_started.svg
- index_user_guide.svg
- authors.md
- cluster.md
- code_of_conduct.md
- contributing.md
- index.md
- batch_classification_loss.svg
- batch_regression_loss.svg
- Figure_1.png
- iou_equation.png
- output_17_1.png
- output_23_1.png
- output_28_0.png
- output_32_0.png
- output_65_0.png
- output_70_0.png
- output_71_0.png
- TrainingData.png
- tree_predicted_bounding_boxes.jpeg
- tree_predicted_labels.jpeg
- 02_model_loader.md
- 03_use_pretrained_model.md
- 04_predict_large_tile.md
- index.md
- load_sample_data.md
- comparison.md
- index.md
- install.md
- overview.md
- deepforest.data.rst
- deepforest.rst
- modules.md
- Australia.ipynb
- Bird_FineTuning.ipynb
- nest_detection.ipynb
- simple_load_and_predict.py
- 01_Reading_data.md
- 02_prebuilt.md
- 03_cropmodels.md
- 04_extending_module.md
- 05_model_architecture.md
- 06_multi_species.md
- 07_scaling.md
- 08_visualizations.md
- 09_configuration_file.md
- 10_better.md
- 11_training.md
- 12_evaluation.md
- 13_annotation.md
- 14_cite.md
- 15_Writing_data.md
- 16_prediction.md
- distributed.md
- index.md
- sample_test.ipynb
- history.md
- index.md
- conf.py
- index.md
- make.bat
- Makefile
- requirements.txt
- __init__.py
- bird.yaml
- config.yaml
- point.yaml
- point_pretrain.yaml
- schema.py
- smoke.yaml
- 2018_SJER_3_252000_4107000_image_477.csv
- 2018_SJER_3_252000_4107000_image_477.tif
- 2018_SJER_3_252000_4107000_image_477_truth.csv
- 2019_BLAN_3_751000_4330000_image_crop.jpg
- 2019_BLAN_3_751000_4330000_image_crop_bbox.csv
- 2019_BLAN_3_751000_4330000_image_crop_keypoints.csv
- 2019_BLAN_3_751000_4330000_image_crop_polygon.csv
- 2019_YELL_2_528000_4978000_image_crop2.png
- 2019_YELL_2_528000_4978000_image_crop2.xml
- 2019_YELL_2_541000_4977000_image_crop.png
- 2019_YELL_2_541000_4977000_image_crop.xml
- 5b90f92da0d7280005fab355_4310.tif
- 5dded5bc0140b80006d2e565_23.tif
- __init__.py
- australia.cpg
- australia.dbf
- australia.prj
- australia.shp
- australia.shx
- australia.tif
- AWPE Pigeon Lake 2020 DJI_0005.JPG
- classes.csv
- coco_sample_file.json
- example.csv
- NEON_PICOL_crop.png
- NEON_PSMEM_crop.png
- NEON_TSCA_crop.png
- OSBS_029.csv
- OSBS_029.png
- OSBS_029.tif
- OSBS_029.xml
- SOAP_031.png
- SOAP_061.png
- SOAP_061.xml
- test_tiled.tif
- testfile_deepforest.csv
- testfile_multi.csv
- cropmodel.py
- prediction.py
- training.py
- __init__.py
- ot_loss.py
- __init__.py
- DeformableDetr.py
- retinanet.py
- treeformer.py
- treeformer_decoder.py
- run_cluster_predict_test.sbatch
- run_cluster_predict_tile_test.sbatch
- run_cluster_train.sbatch
- run_cluster_train.sh
- __init__.py
- cli.py
- evaluate.py
- predict.py
- train.py
- __init__.py
- _version.py
- augmentations.py
- callbacks.py
- distributed.py
- download.py
- evaluate.py
- IoU.py
- main.py
- metrics.py
- model.py
- predict.py
- preprocess.py
- utilities.py
- visualize.py
- blank_annotations.csv
- classes.csv
- float_annotations.txt
- NY.png
- OSBS_029.csv
- testfile_tfrecords.csv
- __init__.py
- AGENTS.md
- cluster_predict_tile_driver.py
- conftest.py
- deepforest_config_test.yml
- profile_dataset.py
- profile_evaluate.py
- profile_predict_file.py
- profile_predict_tile.py
- test_augmentations.py
- test_callbacks.py
- test_cli_evaluate.py
- test_cli_predict.py
- test_cli_train.py
- test_cluster_predict.py
- test_cluster_predict_tile.py
- test_config.py
- test_crop_model.py
- test_data.py
- test_datasets_cropmodel.py
- test_datasets_prediction.py
- test_datasets_training_boxes.py
- test_datasets_training_point.py
- test_datasets_training_polygons.py
- test_detr.py
- test_download.py
- test_environment.py
- test_evaluate.py
- test_hf_models.py
- test_inference.py
- test_IoU.py
- test_main.py
- test_main_checkpointing.py
- test_metrics.py
- test_multiprocessing.py
- test_point.py
- test_preprocess.py
- test_retinanet.py
- test_utilities.py
- test_visualize.py
- test_white_image_predictions.py
- 2019_YELL_2_528000_4978000_image.png
- 2019_YELL_2_541000_4977000_image.png
- 2019_YELL_2_541000_4977000_image_crop.png
- 2019_YELL_2_541000_4977000_image_crop.tiff
- annotated_example.png
- bgr_rgb.png
- bird_panel.jpg
- dataloader-strategy.png
- example_image.png
- example_patch1000.png
- example_patch400.png
- example_predictions_small.png
- finetune_cattle_predictions.png
- getting_started1.png
- image.png
- label_studio.png
- livestock-example.png
- loss.png
- MEE_Figure4.png
- OSBS_sample.png
- predict_tile.png
- QGIS_annotation.png
- rectlabel.png
- semi-supervised.png
- transform_visualizations.jpg
- Visualization1.png
- Visualization2.png
- Visualization3.png
- YELL_train.png
- .bumpversion.toml
- .gitignore
- .pre-commit-config.yaml
- .readthedocs.yml
- .zenodo.json
- _config.yml
- AGENTS.md
- AUTHORS.md
- CITATION.cff
- citation_count.json
- codecov.yml
- CONTRIBUTING.md
- fetch_google_scholar.py
- HISTORY.md
- LICENSE
- MANIFEST.in
- pyproject.toml
- README.md
- setup.cfg
- version_switcher.json
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/weecology/DeepForest
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd DeepForest
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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